Hi,
I want to compute the quantiles of Chi^2 distributions with different
degrees of freedom like
x<-cbind(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995)
df<-rbind(1:100)
m<-qchisq(x,df)
and hoped to get back a length(df) times length(x) matrix with the
quantiles. Since this does not work, I use
x<-c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995)
df<-c(1:100)
m<-qchisq(x,df[1])
for (i in 2:length(df)) {
m<-rbind(m,qchisq(x,df[i]))
}
dim(m)<-c(length(df),length(x))
Is there a way to avoid the for loop ?
Thanks Sigbert
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